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IT teams seek observability for, and control over, serverless architecture

Dynatrace

Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. Companies often turn to serverless architecture to accelerate modernization efforts while simplifying IT management.

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Augmenting LLM input in this way reduces apparent knowledge gaps in the training data and limits AI hallucinations. RAG augments user prompts with relevant data retrieved from outside the LLM.

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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks.

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Cloud cost optimization: Dynatrace helps organizations manage cloud cost

Dynatrace

For example, a CNBC report found that training just one LLM can cost millions of dollars, and then millions more to update. Bernd Greifeneder, Dynatrace founder and CTO, acknowledged in his opening remarks at Dynatrace Perform 2024 that even his team suffers from tool sprawl. Architecture. Utilization.

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Measuring the importance of data quality to causal AI success

Dynatrace

While this approach can be effective if the model is trained with a large amount of data, even in the best-case scenarios, it amounts to an informed guess, rather than a certainty. Because IT systems change often, AI models trained only on historical data struggle to diagnose novel events. That’s where causal AI can help.

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Modern observability platform is onramp to digital transformation: Dynatrace Perform 2022, reporter’s notebook

Dynatrace

Dynatrace CEO Rick McConnell at Perform 2022 in Las Vegas. Organizations are accelerating movement to the cloud, resulting in complex combinations of hybrid, multicloud [architecture],” said Rick McConnell, Dynatrace chief executive officer at the annual Perform conference in Las Vegas this week. Dynatrace news.

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For your eyes only: improving Netflix video quality with neural networks

The Netflix TechBlog

While conventional video codecs remain prevalent, NN-based video encoding tools are flourishing and closing the performance gap in terms of compression efficiency. Architecture of the deep downscaler model, consisting of a preprocessing block followed by a resizing block. Left: Lanczos downscaling; right: deep downscaler.

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